One in a series of talks from the Summer Institute in Computational Social Science (SICSS), which took place in Oxford, 2019. The full programme, downloadable slides & data, and more details about the institute can be found at https://compsocialscience.github.io/summer-institute/2019/oxford/ SICSS-Oxford received financial support from the University of Oxford’s Van Houten fund, the Social Sciences Division’s Teaching Development and Enhancement Project (TDEP) award, Nuffield College, Alfred P. Sloan Foundation and Russell Sage Foundation. Creative Commons Attribution-Non-Commercial-Share Alike 2.0 UK: England & Wales; http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

One in a series of talks from the Summer Institute in Computational Social Science (SICSS), which took place in Oxford, 2019. The full programme, downloadable slides & data, and more details about the institute can be found at https://compsocialscience.github.io/summer-institute/2019/oxford/ SICSS-Oxford received financial support from the University of Oxford’s Van Houten fund, the Social Sciences Division’s Teaching Development and Enhancement Project (TDEP) award, Nuffield College, Alfred P. Sloan Foundation and Russell Sage Foundation. Creative Commons Attribution-Non-Commercial-Share Alike 2.0 UK: England & Wales; http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

One in a series of talks from the Summer Institute in Computational Social Science (SICSS), which took place in Oxford, 2019. The full programme, downloadable slides & data, and more details about the institute can be found at https://compsocialscience.github.io/summer-institute/2019/oxford/ SICSS-Oxford received financial support from the University of Oxford’s Van Houten fund, the Social Sciences Division’s Teaching Development and Enhancement Project (TDEP) award, Nuffield College, Alfred P. Sloan Foundation and Russell Sage Foundation. Creative Commons Attribution-Non-Commercial-Share Alike 2.0 UK: England & Wales; http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

One in a series of talks from the Summer Institute in Computational Social Science (SICSS), which took place in Oxford, 2019. The full programme, downloadable slides & data, and more details about the institute can be found at https://compsocialscience.github.io/summer-institute/2019/oxford/ SICSS-Oxford received financial support from the University of Oxford’s Van Houten fund, the Social Sciences Division’s Teaching Development and Enhancement Project (TDEP) award, Nuffield College, Alfred P. Sloan Foundation and Russell Sage Foundation. Creative Commons Attribution-Non-Commercial-Share Alike 2.0 UK: England & Wales; http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

One in a series of talks from the Summer Institute in Computational Social Science (SICSS), which took place in Oxford, 2019. Probabilistic linkage; Mixing census and big surveys; Multilevel Regression and Poststratification; ML and Bayesian approaches. The full programme, downloadable slides & data, and more details about the institute can be found at https://compsocialscience.github.io/summer-institute/2019/oxford/ SICSS-Oxford received financial support from the University of Oxford’s Van Houten fund, the Social Sciences Division’s Teaching Development and Enhancement Project (TDEP) award, Nuffield College, Alfred P. Sloan Foundation and Russell Sage Foundation. Creative Commons Attribution-Non-Commercial-Share Alike 2.0 UK: England & Wales; http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

One in a series of talks from the Summer Institute in Computational Social Science (SICSS), which took place in Oxford, 2019. Three methods to large-scale text analysis–how they work and what they can(‘t) do. The full programme, downloadable slides & data, and more details about the institute can be found at https://compsocialscience.github.io/summer-institute/2019/oxford/ SICSS-Oxford received financial support from the University of Oxford’s Van Houten fund, the Social Sciences Division’s Teaching Development and Enhancement Project (TDEP) award, Nuffield College, Alfred P. Sloan Foundation and Russell Sage Foundation. Creative Commons Attribution-Non-Commercial-Share Alike 2.0 UK: England & Wales; http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

One in a series of talks from the Summer Institute in Computational Social Science (SICSS), which took place in Oxford, 2019. History of text analysis, and sources of data in the modern age. The full programme, downloadable slides & data, and more details about the institute can be found at https://compsocialscience.github.io/summer-institute/2019/oxford/ SICSS-Oxford received financial support from the University of Oxford’s Van Houten fund, the Social Sciences Division’s Teaching Development and Enhancement Project (TDEP) award, Nuffield College, Alfred P. Sloan Foundation and Russell Sage Foundation. Creative Commons Attribution-Non-Commercial-Share Alike 2.0 UK: England & Wales; http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

One in a series of talks from the Summer Institute in Computational Social Science (SICSS), which took place in Oxford, 2019. Tools and techniques for working with digital trace data. Challenges of ethics and access with digital traces. The full programme, downloadable slides & data, and more details about the institute can be found at https://compsocialscience.github.io/summer-institute/2019/oxford/ SICSS-Oxford received financial support from the University of Oxford’s Van Houten fund, the Social Sciences Division’s Teaching Development and Enhancement Project (TDEP) award, Nuffield College, Alfred P. Sloan Foundation and Russell Sage Foundation. Creative Commons Attribution-Non-Commercial-Share Alike 2.0 UK: England & Wales; http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

One in a series of talks from the Summer Institute in Computational Social Science (SICSS), which took place in Oxford, 2019. What is digital trace data? Pros and cons of digital trace data. Research designs involving digital data. The full programme, downloadable slides & data, and more details about the institute can be found at https://compsocialscience.github.io/summer-institute/2019/oxford/ SICSS-Oxford received financial support from the University of Oxford’s Van Houten fund, the Social Sciences Division’s Teaching Development and Enhancement Project (TDEP) award, Nuffield College, Alfred P. Sloan Foundation and Russell Sage Foundation. Creative Commons Attribution-Non-Commercial-Share Alike 2.0 UK: England & Wales; http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

One in a series of talks from the Summer Institute in Computational Social Science (SICSS), which took place in Oxford, 2019. The full programme, downloadable slides & data, and more details about the institute can be found at https://compsocialscience.github.io/summer-institute/2019/oxford/ SICSS-Oxford received financial support from the University of Oxford’s Van Houten fund, the Social Sciences Division’s Teaching Development and Enhancement Project (TDEP) award, Nuffield College, Alfred P. Sloan Foundation and Russell Sage Foundation. Creative Commons Attribution-Non-Commercial-Share Alike 2.0 UK: England & Wales; http://creativecommons.org/licenses/by-nc-sa/2.0/uk/